在预测最受欢迎的帕雅甘高中新学习者数量方面，采用指数级平滑方法

Majalah Ilmiah Matematika dan Statistika Pub Date : 2022-03-13 DOI:10.19184/mims.v22i1.30138

M. Marizal, Fikha Mutiarani

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引用次数: 2

摘要

预测是一种通过关注过去的数据来估计未来某一特定对象的价值的技术。这种预测使用指数平滑模型，因为使用的数据与模型一致。本研究旨在根据2014年至2021年获得的数据预测Payakumbuh最受欢迎的高中的学生人数，这些数据被分为科学和社会研究类。预测是使用单指数平滑和双指数模型完成的。MAPE结果表明，双指数平滑模型比单指数平滑模型更能预测新生人数。关键词:双指数平滑预测单指数平滑msc2020: 62M10

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PENERAPAN METODE EKSPONENTIAL SMOOTHING DALAM MEMPREDIKSI JUMLAH PESERTA DIDIK BARU DI SMA FAVORIT KOTA PAYAKUMBUH

Forecasting is a technique for estimating a value on a particular object in the future by paying attention to past data. This forecasting uses the Exponential Smoothing models because the data used is in accordance with the model. This study aims to predict the number of students in favorite high schools in Payakumbuh based on data obtained from 2014 until 2021 which is grouped into science and social studies classes. Forecasting is done using a Single Exponential Smoothing and Double Exponential models. MAPE results show that the Double Exponential Smoothing model is better at predicting the number of new students than Single Exponential Smoothing. Keywords: Double exponential smoothing, forecasting, single exponential smoothingMSC2020: 62M10

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Majalah Ilmiah Matematika dan Statistika

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